{"id":"W6957910279","doi":"10.6068/dp14ba87f8b0122","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by National Occupational Classification for Statistics (NOC-S) and sex | Variable: 13 to 60 months, Occupations unique to processing, manufacturing and utilities, Females | Units: # Months x 1,000, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-143.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Wage; Summary statistics; Socioeconomic status; Wages and salaries; Social statistics; Population statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241489,0.002312189,0.002759851,0.008519004,0.003700155,0.004823876,0.005211901,0.001418735,0.1126841],"category_scores_gemma":[0.01848767,0.001839741,0.002112471,0.03981886,0.0006125368,0.002479889,0.002306966,0.003076858,0.0677247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05300367,"about_ca_system_score_gemma":0.1417519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953853,"about_ca_topic_score_gemma":0.9938347,"domain_scores_codex":[0.9956788,0.0002987815,0.0004686063,0.0005385707,0.001962387,0.001052896],"domain_scores_gemma":[0.965381,0.001255808,0.0009621071,0.0009671256,0.02977201,0.001661897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002335314,0.000006549039,0.0009866087,0.0002393588,0.00001842401,0.000006147995,0.00002413181,0.00008773798,0.000008432035,0.0003316177,0.996249,0.002018722],"study_design_scores_gemma":[0.000162324,0.00001374746,0.02706701,0.0009430993,0.00007030262,0.00002810082,0.0005554432,0.0004422235,0.000163731,0.0007050676,0.9697581,0.00009078567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006018918,0.00005808742,0.00003271755,0.0001349714,0.00003391636,0.00001815452,0.9984931,0.00007325863,0.001095572],"genre_scores_gemma":[0.0009371117,0.0003741152,0.0005342517,0.0002040405,0.00002361564,0.000163698,0.991192,0.0001582041,0.006412955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1126841,"threshold_uncertainty_score":0.3845704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871432267175247,"score_gpt":0.2976876996322372,"score_spread":0.2489733769604848,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}